Business Development Representative in a fast-growing AI Startup
Hybrid (GB / US / CH)$80k - $300k + equityFull-timePosted 11mo ago
About the role
Business Development Representative role at Lightly, a Swiss Y‑Combinator funded AI startup, focusing on sales, lead generation, and customer acquisition in the ML/vision data labeling space.
Responsibilities
- Develop and execute customer acquisition strategies for lead generation
- Build and maintain strong, lasting customer relationships by nurturing prospects
- Identify the (potential) customer’s needs and suggest appropriate actions to take
- Manage the entire sales-cycle (lead generation, prospect qualification, product demonstration, proposals, negotiation, and other deliverables for closing deals)
- Refine the company’s B2B sales strategy by identifying best practices
- Manage marketing campaigns, conferences, and digital content creation
- Support strategy, marketing, and operational initiatives
Qualifications
- Completed a Bachelor’s or Master’s degree in a relevant field (STEM or business)
- Excellent verbal and written communication skills in German and English
- Strong presentation, negotiation, and interpersonal skills
- Strong business acumen and a flair for B2B consultative solution selling
- Experience with similar customer groups (e.g., in the AI field) is a plus
- Passion for sales, technology, and innovation
Skills
Required:Bachelor’s or Master’s degree in a relevant field (STEM or business)German and English communicationPresentation, negotiation, interpersonal skillsB2B consultative selling
Nice to have:Experience with AI-related customer groups
Benefits
- Full-time remote position
- Ownership and responsibility from day one and direct contact with the founders
- Competitive salary, various benefits, and stock options
- A lot of fun: regular get togethers, team events, and company offsites (retreats)
- 25 days of paid vacation per year
Last updated Oct 14, 2026. Interested? Apply on the company site.
About Lightly
Help ML teams label the right data
When ML teams send their data to companies like Scale.ai for labeling, most can only afford to label 1% or less of their datasets. But today they don’t have a good way to pick which 1% to label. We help them pick the best 1% of their data to label. By labeling the most representative data, they significantly improve model accuracy at the same cost.
machine-learningdata-labeling
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